Requirements Intelligence
RequirementsHub Requirements Intelligence analyzes your project requirements for quality, completeness, ambiguity, and delivery readiness — identifying what is missing, what is poorly defined, and what will cause problems before development starts and the cost of fixing it multiplies.
What Gets Analyzed
Each requirement is evaluated for clarity, testability, and completeness using BABOK quality standards. Vague language, missing acceptance criteria, non-measurable outcomes, and untestable conditions are flagged with specific improvement guidance.
Field-level semantic analysis detects requirements that are structurally present but professionally meaningless — placeholder text, generic role entries, passive voice with no actor, and acceptance criteria that contain no verifiable condition. The engine explains exactly what is wrong and how to fix it.
Requirements are analyzed against stated objectives, stakeholders, and decisions to identify missing coverage. Goals that lack supporting requirements are surfaced with severity ratings.
Language patterns that indicate ambiguity — undefined terms, relative measures, passive constructions, and missing specificity — are identified with evidence and linked to the specific field that triggered the finding.
The engine evaluates how well requirements connect to business objectives, stakeholder needs, and acceptance outcomes. Orphaned and untraced requirements are flagged.
Stakeholder records are analyzed for professional completeness — generic role entries, unnamed individuals, and missing accountability assignments are flagged before they become approval blockers at delivery.
Requirements are validated against the full workspace context: authentication requirements with no identity system defined, compliance requirements with no named owner, payment capabilities with no payment system identified. The engine finds the gaps between entities, not just within them.
The full requirement set is evaluated for development readiness, producing an Overall Project Health Score and identifying the highest-priority gaps to resolve before work begins.
Intelligence Scoring
Every Requirements Intelligence analysis produces four scores that together describe the health of your requirements and the readiness of your project to move forward.
Lead Score
A single blended score (0–100) that reflects the full health of your requirements workspace. Built from equal contributions across all four dimensions below — so you always know what is holding your project back.
Measures the completeness and structural coverage of your requirements. Evaluates coverage across requirement types, acceptance criteria presence, and the existence of assumptions, dependencies, and constraints.
Measures how well your requirements connect to stated objectives, stakeholder needs, and measurable outcomes. Identifies orphaned requirements and broken traceability chains.
Measures whether your requirements are tied to measurable success conditions and whether the project has sufficient coverage to proceed to development with confidence.
Measures the semantic quality of your requirement content — not just whether fields are filled in, but whether the content is professionally meaningful, unambiguous, and testable. Scored against BABOK quality attributes: Ambiguous, Incomplete, Non-testable, Non-atomic, Non-verifiable, and Missing Business Rationale.
These scores are computed from your actual requirement artifacts — not self-reported.
Quality Coaching
Requirements Intelligence doesn't stop at identifying gaps. The Project Coaching Workspace translates every finding into actionable guidance — written in the voice of an experienced Business Analyst.
Each requirement description and acceptance criteria is evaluated against professional BA standards. Findings explain specifically what is wrong — “Requirement uses non-measurable language” — and how to fix it — “Replace with a specific, observable outcome.”
Stakeholder records, objective statements, and risk entries are evaluated as compound records. A well-written objective paired with vague linked requirements surfaces as a distinct quality failure — because structural completeness and content quality are not the same thing.
The engine validates requirements against the full workspace. An SSO requirement with no identity system defined. A compliance requirement with no named accountable stakeholder. A payment capability with no payment processor identified. These gaps are found and explained.
Rather than a quality score with no explanation, each finding is tagged with the specific BABOK quality attribute it violates:
Intelligence Report & Exports
A structured report covering Overall Project Health, all four scores with calculation breakdowns, gap findings by severity, quality findings by BABOK attribute, and coaching recommendations — ready to present to stakeholders or share with a delivery team.
Download the complete Intelligence Report as a formatted PDF — including the quality score card, breakdown table, quality narrative, and coaching recommendations. Suitable for client deliverables, project reviews, and executive briefings.
Export the Project Coaching Workspace findings and improvement suggestions as a structured document — a prioritized action list your team can work from without logging into RequirementsHub.
Requirements validated in RequirementsHub can be pushed downstream to your delivery tools. Gap findings become Jira issues. Requirements become Confluence documentation. The intelligence stays upstream. The work moves downstream. Available on Pro. Atlassian integration setup in minutes.
Professional Foundation
Requirements Intelligence is not a generic document summarizer. The analysis engine is grounded in BABOK knowledge areas, Lean Six Sigma quality principles, and SAFe delivery frameworks.
Requirements are classified as Business, Stakeholder, Solution Functional, Solution Non-Functional, Transition, or Quality — matching the knowledge areas experienced BAs use to ensure complete coverage.
Every quality finding is tagged with the specific BABOK attribute it violates — Ambiguous, Incomplete, Non-testable, Non-atomic, Non-verifiable, Non-feasible, or Missing Business Rationale — so findings read like a professional review, not a lint check.
Every gap finding, ambiguity flag, and quality issue is linked back to the specific requirement and field that triggered it. No black-box outputs.
The engine evaluates whether your project has appropriate coverage across all six requirement types — not just whether requirements exist, but whether the right categories of requirements exist.
Each requirement is evaluated for the presence and quality of acceptance criteria. Requirements without testable acceptance criteria are flagged as readiness risks.
Built For
Validate requirement quality against BABOK standards, detect gaps before review cycles, and deliver structured Intelligence Reports to stakeholders as evidence of requirements readiness.
Ensure product requirements are complete, semantically meaningful, traceable to business objectives, and ready for development before sprint planning begins.
Reduce delivery risk by identifying requirements gaps, quality failures, and cross-entity coverage gaps before development commitments are made.
Deliver structured requirements analysis and exportable Intelligence Reports to clients as part of pre-development advisory engagements. Push validated requirements directly to client Jira and Confluence environments.
In Your Workflow
RequirementsHub Requirements Intelligence operates before your delivery tools — not inside them.
Requirements defined, analyzed, and validated in RequirementsHub feed downstream tools with higher-quality inputs.
RequirementsHub helps teams build the right thing. Delivery tools help teams build the thing right. Both matter. Sequence matters more.
The RequirementsHub workspace is free. Create projects, capture requirements, add stakeholders, and document decisions at no cost. Requirements Intelligence is a Pro capability — available when your project is ready for analysis.